{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:GJ5VVEGBIOGILKEDLR56BOAGK6","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d31f3c7d36b976503abb82369f5d5587f20dbce98e2fed2a853f4ce5d55282a5","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-14T16:22:25Z","title_canon_sha256":"048c5715e8fdb8ddfa20c6463d762f0e95e948bb66ad05c6f9272ba5e5e8115d"},"schema_version":"1.0","source":{"id":"2112.07513","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.07513","created_at":"2026-07-05T03:40:59Z"},{"alias_kind":"arxiv_version","alias_value":"2112.07513v1","created_at":"2026-07-05T03:40:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.07513","created_at":"2026-07-05T03:40:59Z"},{"alias_kind":"pith_short_12","alias_value":"GJ5VVEGBIOGI","created_at":"2026-07-05T03:40:59Z"},{"alias_kind":"pith_short_16","alias_value":"GJ5VVEGBIOGILKED","created_at":"2026-07-05T03:40:59Z"},{"alias_kind":"pith_short_8","alias_value":"GJ5VVEGB","created_at":"2026-07-05T03:40:59Z"}],"graph_snapshots":[{"event_id":"sha256:ce50cdeae394758b7759379d0e2fd3c3f45230932e0393c6a0cc66bf91efefe9","target":"graph","created_at":"2026-07-05T03:40:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2112.07513/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Localizing text instances in natural scenes is regarded as a fundamental challenge in computer vision. Nevertheless, owing to the extremely varied aspect ratios and scales of text instances in real scenes, most conventional text detectors suffer from the sub-text problem that only localizes the fragments of text instance (i.e., sub-texts). In this work, we quantitatively analyze the sub-text problem and present a simple yet effective design, COntrastive RElation (CORE) module, to mitigate that issue. CORE first leverages a vanilla relation block to model the relations among all text proposals ","authors_text":"Hongyang Chao, Jingyang Lin, Rongfeng Lai, Ting Yao, Xuehang Yang, Yingwei Pan","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-14T16:22:25Z","title":"CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.07513","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d907577bd965b6907f7662cf7a569436dbd3e440d4cfaa6762d942e250e58116","target":"record","created_at":"2026-07-05T03:40:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d31f3c7d36b976503abb82369f5d5587f20dbce98e2fed2a853f4ce5d55282a5","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-14T16:22:25Z","title_canon_sha256":"048c5715e8fdb8ddfa20c6463d762f0e95e948bb66ad05c6f9272ba5e5e8115d"},"schema_version":"1.0","source":{"id":"2112.07513","kind":"arxiv","version":1}},"canonical_sha256":"327b5a90c1438c85a8835c7be0b806579dbd47e3952e14d721fba5fdf67dc10e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"327b5a90c1438c85a8835c7be0b806579dbd47e3952e14d721fba5fdf67dc10e","first_computed_at":"2026-07-05T03:40:59.097278Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:40:59.097278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FCKvV/sMhtHunwW00TutDc76KEHnJkTWkz7V/BtFowzy/RXo1rBLAActo8ONLPM74ZuGeVLlCBYUNAV3BklIDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:40:59.097675Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.07513","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d907577bd965b6907f7662cf7a569436dbd3e440d4cfaa6762d942e250e58116","sha256:ce50cdeae394758b7759379d0e2fd3c3f45230932e0393c6a0cc66bf91efefe9"],"state_sha256":"c8442d94380fd4d8f801411d8b1550aede348bf654f67b4191ca482c77cf6341"}